Data Governance Lead

Themesoft Inc.; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Themesoft Inc. is seeking a professional to lead their data governance initiatives in New York. You will be responsible for designing and implementing the data governance framework, ensuring compliance with regulations like GDPR and BCBS 239, and managing data quality.

The ideal candidate should possess strong knowledge of data privacy regulations, risk management, and proficiency in data quality tools such as Databricks and Collibra. This role is pivotal in aligning governance with industry standards.

Qualifications

• Strong understanding of data privacy and protection regulation (GDPR, CCPA, or applicable local law).
• Awareness of industry-specific regulatory frameworks (e.g. BCBS 239 for financial services).
• Understanding of data risk management and how governance supports enterprise risk frameworks.

Responsibilities

• Design, implement and continuously improve the enterprise data governance framework.
• Align data governance activities with regulatory requirements.
• Define data quality dimensions and associated KPIs.

Skills

Data privacy regulation knowledge

Understanding of regulatory frameworks

Data risk management

Stakeholder management

Master Data Management

Proficiency in data quality tooling

SQL knowledge

Tools

Databricks

Collibra

Alation

Atlan

Informatica

Job description

Qualifications

• Strong understanding of data privacy and protection regulation (GDPR, CCPA, or applicable local law).
• Awareness of industry-specific regulatory frameworks (eg BCBS 239 for financial services).
• Understanding of data risk management and how governance supports enterprise risk frameworks.
• Stakeholder management, Master Data and Reference Data Management, Risk, Compliance and Audit

Tech Skills

Governance Frameworks, Proficiency in data quality tooling compatible with Databricks, SQL and understanding of MDM.

Roles and Responsibilities

• Data Governance Framework - Design, implement and continuous improvement of the enterprise data gov. framework, policies and standards.
• Align data governance activities with regulatory requirements (e.g. GDPR, BCBS 239, DORA, FCA).
• Data Quality Management: Define data quality dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness) and associated KPIs by Implementing and overseeing the data quality rules within ETL/ELT pipelines and source systems.
• Metadata and Data Lineage: By managing the integration with data cataloguing and metadata management tooling (e.g. Collibra, Alation, Atlan, Informatica) any tool is okay to have.